발간년도 : [2018]
| 논문정보 |
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| 논문명(한글) |
[Vol.13, No.2] Information Extraction of Abnormal Headlight from Night Vehicle Image |
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| 논문투고자 |
Byung-Tae Chun |
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| 논문내용 |
Many studies using the latest nighttime vehicle images are under way. Research on nighttime imaging has been conducted in the field of ITS and is being used to collect vehicle information. When the unusual headlight is shining on the eyes, it is said to be invisible for 4.5 seconds. In the case of a vehicle traveling at 80 km, it will run at 100 m without any defenses. Thus, in the case of an unsteady headlight, the driver of the other side of the opponent may have a serious problem in driving even if the driver takes the light for only a few seconds. In this paper, we propose a method to extract headlight area information from input nighttime vehicle image and determine whether it is a normal / abnormal headlight. After the binarization is performed on the whole image, the large area is extracted to the headlight area through the condition check. The extracted headlight area is compared with the pre-calculated normal headlight area size to determine normal / abnormal. Experimental results show that the detection of unsteady headlights is good. This study can be applied to search for illegal headlights in the future. |
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